דרושים » תוכנה » Senior Software Engineer, Data Center Workloads - Infrastructure

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

We are looking for a Senior Software Engineer to join the SDK Verification team. The SDK enables developers to rapidly create applications and services on top of our BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you'll be doing:
Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services.
Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues.
Debug and analyze complex system-level issues to identify root causes and drive timely resolution.
Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of our services.
Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation.
Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the platform.

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.

Our Interconnect Networking Product Engineering team is looking for an excellent hardware engineer with strong coding, analysis, and debugging skills. This role requires a deep understanding of both hardware and software to develop robust test capabilities and processes. You will drive efficient integration and provide engineering support for production testing of cutting-edge product technology. You will help ensure reliable, efficient production tests with high coverage and strong outgoing product quality.

What youll be doing:

Characterize and develop test processes of advanced interconnect products.

Play a key role in the development and bring-up of advanced hardware test solutions supporting next-generation interconnect products.

Develop embedded software capabilities packages to support various of advanced power components and Digital\ Analog ICs

Cooperate with multidisciplinary design and analysis teams for bring up, performance optimization and seamless production integration.

Lead test solution innovations to reduce test time, costs and improve overall product quality.

Develop software solutions to find, debug, and resolve problems in the production and bring-up processes.

Collaborate with overseas manufacturing and mass-production teams to improve yield, test coverage, and capacity, and to resolve production issues.

Lead advanced studies of product behavior under a wide range of system and environmental conditions.

We are looking for a Software Engineer to join NSV tools (Network Solutions Validation) group. As a team member, you will be part of a development effort of high-performing software automation systems for our Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?



What youll be doing:
Design and develop an automation platform used to provision, configure, and monitor HPC data centers.
Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.
Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

The NVIDIA Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading NVIDIA devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with NVIDIA partners and customers.

We are rebuilding the way chips get built, and were looking for a senior engineer to help lead that transformation.

This is a full-stack platform role on the team responsible for the development environment behind our silicon. You will help define how agentic orchestration and durable execution become first-class parts of the chip-design workflow.

Were looking for someone who has built complex systems before - across backend, frontend, and infrastructure - and is ready to set the technical direction for what comes next.

What You'll be doing:

Architect and lead full-stack EDA platforms end to end, from data models and backend services to the frontends engineers use every day - while making key technical and build-vs-buy decisions.

Own the infrastructure these platforms run on at scale, including CI/CD, containerization, observability, on-prem compute, and cloud-native Kubernetes environments.

Set engineering standards across the team by leading design reviews, improving reliability and developer experience, and mentoring engineers.

Act as a technical leader across silicon, backend, and design-automation teams, helping turn fragile manual flows into dependable automated systems used by many engineers.

We are looking for a Senior Software Engineer. You will work with highly experienced engineers to provide the world's outstanding SmartNIC products for cloud-computing, research, medical, automotive, finance, weather, telco, and more.

We also take significant part in the Linux-foundation DPDK (dpdk.org) project, and expand the Mellanox PMD in particular, providing the framework and common API for fast packet processing in user space. Our goal is to enable breakthrough network performance, using our SmartNIC hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.

What you'll be doing:
You will architect, design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain.
Engage with customers and architects to understand the requirements and derive the software design accordingly.
Collaborate with other engineering teams that develop the upper layers applications like virtual switches (OVS, VPP, and etc.) and lower layers like driver, kernel, FW, and HW.

This role brings together horizontal ownership across engineering process, security coordination, developer productivity, DevOps, integration, and product usability. The leader will define clear operating models, remove execution friction across organizational boundaries, and ensure that DOCA software, tools, and workflows are robust, secure, integrated, and intuitive from development through deployment. The ideal candidate is comfortable leading people, working across engineering groups, understanding complex system-level software, and translating operational, security, integration, and usability challenges into clear priorities, ownership, and measurable improvements.

What you'll be doing:

Lead the DOCA Process and Productivity function, including cross-organizational process execution, DevOps, integration, UX/usability, security process coordination, and developer productivity initiatives.

Own and improve operating mechanisms across DOCA R&D, QA, release, security, integration, DevOps, lab infrastructure, and partner teams.

Serve as the Security Point of Contact for the DOCA framework, driving secure development workflows, vulnerability handling, security reviews, incident management, and alignment with NVIDIA security requirements.

Drive improvements in build, validation, release readiness, automation, CI/CD, lab workflows, deployment experience, documentation, and end-to-end engineering productivity.

Lead, mentor, and grow teams while helping the organization make multi-team workflows more predictable, transparent, secure, automated, accountable, and efficient.

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises

What you'll be doing:
Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process